Electronic health record (EHR) datasets have increasingly been harnessed by artificial
intelligence (AI) for predictive modeling, yet the ethnicity fairness of these models remains …

In the rapidly evolving landscape of modern healthcare, the integration of wearable and
portable technology provides a unique opportunity for personalized health monitoring in the …

Background: Current risk stratification strategies for heart failure (HF) risk require either
specific blood-based biomarkers or comprehensive clinical evaluation. In this study, we …

Artificial intelligence-enhanced exposomics: novel insights into cardiovascular health Page
1 Artificial intelligence-enhanced exposomics: novel insights into cardiovascular health …

Background: Randomized clinical trials (RCTs) are designed to produce evidence in
selected populations. Assessing their effects in the real-world is essential to change medical …

Rapid risk stratification for patients presenting with chest pain to the emergency department
(ED) improves efficiency of care and patient outcomes. 1 While the care of patients …

Importance: Despite the availability of disease-modifying therapies, scalable strategies for
heart failure (HF) risk stratification remain elusive. Portable devices capable of recording …

Multi-label classification of unstructured electronic health records (EHR) poses challenges
due to the inherent semantic complexity in textual data. Advances in natural language …

Addressing the critical challenge of lengthy and costly drug development, this chapter
illuminates the transformative role of advanced artificial intelligence (AI) in drug discovery. It …

Medical data retrieval is becoming increasingly crucial, aiding physicians and domain
experts in more effectively accessing knowledge and information related to medicine and …